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JAX Privacyjax-privacy.readthedocs.ioJAX Privacy is an open source library for differentially private training of machine learning models, originally developed at DeepMind for DP image classification research. It provides a production-focused API for DP training in JAX and Keras, aiming to enable reproducibility of Google's DP training research and facilitate external experimentation.
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parse.gl shapes more of what AI says about JAX Privacy than any other source, at 33% of its citations.
research.google · usenix.org
